Multi-Node Networked Indoor Air Quality Monitor
Presentation Type
Oral Presentation
Start Date
5-8-2024 1:00 PM
End Date
5-8-2024 3:00 PM
Subjects
Air Quality, Environmental Monitoring
Advisor
David Burnett
Student Level
Masters
Abstract
We present an open-source wireless indoor air quality monitoring system consisting of carbon dioxide (CO2), 2.5 µm particulate matter (PM2.5), and airflow sensors. This system also contains wireless mesh networking capabilities, allowing many of these systems to be placed throughout a space to measure the indoor air quality of a wide area. The system is easily user-configurable to achieve 3 months, 6 months, or 1 year of battery life. The nodes wirelessly communicate with a host system, which stores the data locally in text-based log files and displays the data in plots organized by measurement. The system is designed to be open-source, utilizing predominantly off-the-shelf components and software. We expect this approach to allow for greater adaptability and ease of use for those wishing to design or use similar sensor systems.
Creative Commons License or Rights Statement
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Persistent Identifier
https://archives.pdx.edu/ds/psu/41918
Presentation Slides
Multi-Node Networked Indoor Air Quality Monitor
We present an open-source wireless indoor air quality monitoring system consisting of carbon dioxide (CO2), 2.5 µm particulate matter (PM2.5), and airflow sensors. This system also contains wireless mesh networking capabilities, allowing many of these systems to be placed throughout a space to measure the indoor air quality of a wide area. The system is easily user-configurable to achieve 3 months, 6 months, or 1 year of battery life. The nodes wirelessly communicate with a host system, which stores the data locally in text-based log files and displays the data in plots organized by measurement. The system is designed to be open-source, utilizing predominantly off-the-shelf components and software. We expect this approach to allow for greater adaptability and ease of use for those wishing to design or use similar sensor systems.